Data Engineer - Snowflake SQL & ETL (Hybrid Role)

NBMBAA; Columbus (OH); Híbrido; USD 105.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/dental/vision

Life insurance

Disability coverage (short & long)

18 days PTO per year

Nine holidays

401(k) with company match

Company pension plan

Business casual attire

Descripción de la vacante

Nationwide Technology is seeking a Data Engineer to join the NF Data Warehouse/Lakehouse team in a hybrid Columbus, OH setting. The role focuses on data integration across Nationwide Financial products and building data solutions for analytical and operational use cases on a Snowflake-based lakehouse.

The ideal candidate has 4+ years in software/tech, strong SQL and Snowflake skills, and experience with ETL/ELT using Python within Lean/Agile/DevOps environments.

Formación

• Completion of undergraduate studies in computer science, MIS, or related field; tech certs allowed in lieu of degree.
• Four or more years of software engineering or related tech experience.
• Proficiency in one or more programming languages (Java, C++, Python, JavaScript).
• Strong knowledge of the software development lifecycle and SDLC best practices.

Responsabilidades

• Analyze solutions, develop, test, debug, document, and deploy software in an agile environment.
• Apply secure software practices throughout the delivery lifecycle.
• Use DevSecOps tooling and techniques.
• Drive continuous improvement through training and innovation.
• Manage medium to large project priorities, deadlines, and deliverables.
• Provide technical guidance to others.

Conocimientos

SQL

Java

Python

JavaScript

Agile methodologies

DevOps practices

Collaboration

Educación

Bachelor's degree in computer science or related field

Herramientas

Snowflake

Descripción del empleo

Nationwide Technology is seeking a Data Engineer to join the NF Data Warehouse/Lakehouse team in a hybrid Columbus, OH setting. The role focuses on data integration across Nationwide Financial products and building data solutions for analytical and operational use cases on a Snowflake-based lakehouse.

The ideal candidate has 4+ years in software/tech, strong SQL and Snowflake skills, and experience with ETL/ELT using Python within Lean/Agile/DevOps environments.